diff --git a/InvenTree/InvenTree/fields.py b/InvenTree/InvenTree/fields.py
index d2fb7b6ff4..4d8ab9ef82 100644
--- a/InvenTree/InvenTree/fields.py
+++ b/InvenTree/InvenTree/fields.py
@@ -11,6 +11,8 @@ from django.core import validators
 from django import forms
 from decimal import Decimal
 
+from InvenTree.helpers import normalize
+
 
 class InvenTreeURLFormField(FormURLField):
     """ Custom URL form field with custom scheme validators """
@@ -53,7 +55,7 @@ class RoundingDecimalFormField(forms.DecimalField):
         """
 
         if type(value) == Decimal:
-            return value.normalize()
+            return normalize(value)
         else:
             return value
 
diff --git a/InvenTree/InvenTree/helpers.py b/InvenTree/InvenTree/helpers.py
index 6b29adb4c4..6b619b4aa2 100644
--- a/InvenTree/InvenTree/helpers.py
+++ b/InvenTree/InvenTree/helpers.py
@@ -8,6 +8,8 @@ import json
 import os.path
 from PIL import Image
 
+from decimal import Decimal
+
 from wsgiref.util import FileWrapper
 from django.http import StreamingHttpResponse
 from django.core.exceptions import ValidationError
@@ -104,6 +106,20 @@ def isNull(text):
     return str(text).strip().lower() in ['top', 'null', 'none', 'empty', 'false', '-1', '']
 
 
+def normalize(d):
+    """
+    Normalize a decimal number, and remove exponential formatting.
+    """
+
+    if type(d) is not Decimal:
+        d = Decimal(d)
+
+    d = d.normalize()
+    
+    # Ref: https://docs.python.org/3/library/decimal.html
+    return d.quantize(Decimal(1)) if d == d.to_integral() else d.normalize()
+
+
 def decimal2string(d):
     """
     Format a Decimal number as a string,
@@ -117,6 +133,9 @@ def decimal2string(d):
         A string representation of the input number
     """
 
+    if type(d) is Decimal:
+        d = normalize(d)
+
     try:
         # Ensure that the provided string can actually be converted to a float
         float(d)
diff --git a/InvenTree/company/tests.py b/InvenTree/company/tests.py
index 7037170862..58520689a1 100644
--- a/InvenTree/company/tests.py
+++ b/InvenTree/company/tests.py
@@ -96,8 +96,8 @@ class CompanySimpleTest(TestCase):
     def test_part_pricing(self):
         m2x4 = Part.objects.get(name='M2x4 LPHS')
 
-        self.assertEqual(m2x4.get_price_info(10), "70.00000 - 75.00000")
-        self.assertEqual(m2x4.get_price_info(100), "125.00000 - 350.00000")
+        self.assertEqual(m2x4.get_price_info(10), "70 - 75")
+        self.assertEqual(m2x4.get_price_info(100), "125 - 350")
 
         pmin, pmax = m2x4.get_price_range(5)
         self.assertEqual(pmin, 35)
diff --git a/InvenTree/part/models.py b/InvenTree/part/models.py
index f1caf32fe6..c182cc6583 100644
--- a/InvenTree/part/models.py
+++ b/InvenTree/part/models.py
@@ -37,7 +37,7 @@ from InvenTree import helpers
 from InvenTree import validators
 from InvenTree.models import InvenTreeTree, InvenTreeAttachment
 from InvenTree.fields import InvenTreeURLField
-from InvenTree.helpers import decimal2string
+from InvenTree.helpers import decimal2string, normalize
 
 from InvenTree.status_codes import BuildStatus, StockStatus, OrderStatus
 
@@ -781,8 +781,8 @@ class Part(models.Model):
         if min_price == max_price:
             return min_price
 
-        min_price = min_price.normalize()
-        max_price = max_price.normalize()
+        min_price = normalize(min_price)
+        max_price = normalize(max_price)
 
         return "{a} - {b}".format(a=min_price, b=max_price)
 
@@ -807,8 +807,8 @@ class Part(models.Model):
         if min_price is None or max_price is None:
             return None
 
-        min_price = min_price.normalize()
-        max_price = max_price.normalize()
+        min_price = normalize(min_price)
+        max_price = normalize(max_price)
 
         return (min_price, max_price)
 
@@ -843,8 +843,8 @@ class Part(models.Model):
         if min_price is None or max_price is None:
             return None
 
-        min_price = min_price.normalize()
-        max_price = max_price.normalize()
+        min_price = normalize(min_price)
+        max_price = normalize(max_price)
 
         return (min_price, max_price)